Biometric authentication systems may suffer from decreasing recognition performance due
to varying environmental conditions and sample ageing, which cause intra-class variability …

Biometric authentication technology has become increasingly common in our daily lives as
information protection and control regulation requirements have grown worldwide. A …

Compared to other biometrics, electrocardiograms (ECGs) have gained widespread
acceptability as mediums for validating animateness in numerous security applications …

Open datasets serve as facilitators for researchers to conduct research with ground truth
data. Generally, datasets contain innovation and knowledge in the domains that could be …

In recent years, security systems based on biometric features have become a promising
solution to identify humans, and it is preferred over traditional methods working based on …

The development and use of wearable devices require high levels of security and have
sparked interest in biometric authentication research. Among the available approaches …

Authentications using biometrics, such as fingerprint recognition and electrocardiogram
(ECG), have been actively used in various applications. Unlike traditional authentication …

This article proposes a new method of identity recognition in sanitary facilities based on
electrocardiography (ECG) signals. Our team previously proposed a novel approach of …

In this study, the optimal features of electrocardiogram (ECG) signals were investigated for
the implementation of a personal authentication system using a reinforcement learning (RL) …

We established a web-based ubiquitous health management (UHM) system,“ECG4UHM”,
for processing ECG signals with AI-enabled models to recognize hybrid arrhythmia patterns …